wanshuiyin/Auto-claude-code-research-in-sleep
6,141 stars · Last commit 2026-04-11
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
README preview
# Auto-claude-code-research-in-sleep (ARIS ⚔️🌙) 💡 *Use ARIS in Claude Code / Cursor / Trae as a skill-based workflow, or get the full experience with the standalone CLI — enjoy any way you like!* 🔥 [**ARIS-Code CLI — 独立安装版**](docs/ARIS-Code-README_CN.md) · [English](docs/ARIS-Code-README_EN.md) | [⬇️ Download](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/releases/latest) > 📰 **ARIS-Code v0.3.9** (2026-04-11) — Proxy/custom base URL (CCSwitch) | Local models (LM Studio/Ollama) | Research Wiki | Meta-Optimize | Atomic sessions | Bash safety | Windows (experimental) > > <details><summary>Previous versions</summary> > > **v0.3.0** (2026-04-03) — Multi-file memory index | Rich task system (TodoWrite) | `/plan` | Security hardening > > **v0.2.2** (2026-04-03) — `/plan` step-by-step planning | `/tasks` persistent tracking > > **v0.2.1** (2026-04-03) — Persistent Memory | Kimi K2.5 multi-turn fix | CJK cursor fix > > **v0.2.0** (2026-04-02) — Open source | Kimi + MiniMax + GLM support | Smart LlmReview routing | CI/CD > > **v0.1.0** (2026-04-02) — Initial release | Multi-executor & reviewer | 42 bundled skills >